Malik Boudiaf

According to our database, Malik Boudiaf authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits.

Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf, Sen Wang

CoRR, 2024

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain.

Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa

CoRR, 2024

SaulLM-7B: A pioneering Large Language Model for Law.

Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa

CoRR, 2024

Bag of Tricks for Fully Test-Time Adaptation.

Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP.

Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Adversarial Robustness Via Fisher-Rao Regularization.

Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida

CoRR, 2023

In Search for a Generalizable Method for Source Free Domain Adaptation.

Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou

Proceedings of the International Conference on Machine Learning, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Strong Baseline for Generalized Few-Shot Semantic Segmentation.

Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Open-Set Likelihood Maximization for Few-Shot Learning.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions.

Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed

CoRR, 2022

Model-Agnostic Few-Shot Open-Set Recognition.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2022

FHIST: A Benchmark for Few-shot Classification of Histological Images.

Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

CoRR, 2022

KNIFE: Kernelized-Neural Differential Entropy Estimation.

Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

CoRR, 2022

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.

Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Differential Entropy Estimator for Training Neural Networks.

Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

Proceedings of the International Conference on Machine Learning, 2022

Parameter-free Online Test-time Adaptation.

Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Mutual-Information Based Few-Shot Classification.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

CoRR, 2021

Transductive Few-Shot Learning: Clustering is All You Need?

Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed

CoRR, 2021

Realistic evaluation of transductive few-shot learning.

Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transductive Information Maximization For Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Metric learning: cross-entropy vs. pairwise losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Information Maximization for Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Computer Vision - ECCV 2020, 2020